Some patients resent a poor examination, sometimes even not performed, in medical consultations.
The problem is sometimes overcome by the request for a large number of laboratory tests.
They are complementary because they should complement a hypothesis for the clinical diagnosis, after an adequate medical examination of the patient.
In fact, a healthcare professional who does not know how to examine a patient may also not know how to interpret the examination.
This difficulty will soon be overcome by artificial intelligence. It is the use of computers in special machines to replace intelligent tasks performed by humans, according to Cornelius A. James, from the University of Michigan, USA.
In the health area, he says that some medical specialties will be replaced by machines that will automatically learn from data without programming.
In the journal Jama Cardiology, a group of cardiologists and computer science specialists from European countries, coordinated by Fabian Laumer, from Switzerland, established an echocardiogram machine learning system to differentiate two different diseases with the same symptoms and signs.
To study the real differences between Taketsubo syndrome and acute myocardial infarction, they analyzed 448 patients, of which 220 were controls.
The machine outperformed the group of four cardiologists in the differential diagnosis of the two diseases, according to the authors.
This echocardiographic analysis system is not intended to replace physicians, but to enable fast and accurate examinations reliably.
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